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@anirudhacharya anirudhacharya released this 11 Mar 02:13
0.7.0
01c96b2
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Learn about vigilant mode.

This release includes the following changes -

  • Introducing experimental support for TF 2.x keras.fit() eager and non-eager mode. With this change, losses, metrics, weights and biases can be saved in TF 2.x eager mode (At present, gradients/inputs/outputs cannot be saved when TF 2.x eager mode is used) (#150)
  • Raise Error For Invalid Collection Config - An exception is raised if a collection is incorrectly configured. Incorrect configuration includes collection created but no tensors/regex specified, spelling mistakes while specifying the collection name in the hook (#162)
  • Fix a crash that occurred with the use of PyTorch’s DataParallel API (this API enables user’s to run training on multiple GPUs on PyTorch) (#165)
  • Bug fix to allow users to read from data sources that contain more than 1000 files (#168)
  • Update the save_scalar() method to accept and store the timestamp at along with the scalar value (#170)
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